Differential global and MTHFR gene specific methylation patterns in preeclampsia and recurrent miscarriages: A case-control study from North India.

AIM: The purpose of the present study is to evaluate and understand the association of global and MTHFR gene specific methylation in preeclampsia and recurrent miscarriages in light of MTHFR C677T polymorphism. METHODS: The subjects comprised of recurrent miscarriage cases, their gestation matched controls, preeclampsia cases and matched controls. A set of women at full term were also recruited. Fasting blood sample (~5 ml) was drawn from all the participants followed by DNA extraction, global DNA methylation and MTHFR gene specific methylation. MTHFR C677T polymorphism was analysed by PCR followed by RFLP. RESULTS HIGHER: Global DNA methylation at maternal front (p = 0.04) and hypomethylation of MTHFR gene at fetal front (p = 0.001) might be a characteristic of preeclampsia. Recurrent miscarriage cases were having significantly (p = 0.002) hyper MTHFR gene specific methylation as compared to controls. Women carrying CT genotype were found to be having significantly (p = 0.001) higher global DNA methylation in PE cases and MTHFR gene specific methylation (p = 0.005) in RM cases. Intergenerational analysis revealed similar patterns of global DNA methylation and MTHFR gene specific methylation among both PE and RM cases at maternal and fetal fronts. CONCLUSION: The study highlights the importance of global DNA methylation in Preeclampsia and MTHFR gene specific methylation in recurrent miscarriages. MTHFR C677T gene polymorphism in association with global and gene specific methylation seem to play a pivotal role in PE and RM respectively.

Protein signatures linking history of miscarriages and metabolic syndrome: a proteomic study among North Indian women.

BACKGROUND: Metabolic syndrome (MeS), a constellation of metabolic adversities, and history of miscarriage make women at a higher risk for cardiovascular diseases (CVDs). However, molecular evidence indicating a link between the two phenotypes (history of miscarriage and MeS) among women would offer an opportunity to predict the risk factor for CVDs at an early stage. Thus, the present retrospective study attempts to identify the proteins signatures (if any) to understand the connection between the history of miscarriage and MeS. METHODS: Age-matched 80 pre-menopausal women who were not on any medical intervention or drugs were recruited from a Mendelian population of the same gene pool. Recruited women were classified into four groups-(a) Group A-absolute cases with history of miscarriage and MeS, (b) Group B-absolute controls without any history of miscarriage and MeS, (c) Group C-cases with MeS but lack any history of miscarriage, (d) Group D-cases with history of miscarriage but lack MeS. Differentially expressed proteins in plasma samples of women from four groups were identified using 2-D gel electrophoresis and mass spectrometry. RESULTS: Three case groups (A, C, and D) showed 18 differentially expressed proteins. Nearly 60% of proteins (11/18) were commonly dysregulated in Group C (only with MeS) and Group D (only with miscarriage history). Nearly 40% of proteins (7/18) were commonly dysregulated in the three case groups (Groups A, C, and D), indicating a shared pathophysiology. Four proteins were exclusive but shared by case groups C and D indicating the independent routes for CVDs through MeS or miscarriages. In absolute cases, transthyretin (TTR) showed exclusive upregulation, which was further validated by Western blotting and ELISA. Networking analyses showed the strong association of TTR with haptoglobin, transferrin and ApoA1 hinting toward a cross-talk among these proteins which could be a cause or an effect of TTR upregulation. CONCLUSION: The study provides evidence for molecular link between the history of miscarriage and MeS through a putative role of TTR. However, longitudinal follow-up studies with larger sample size would further help to demonstrate the significance of TTR and other targeted proteins in risk stratification and the onset of CVDs.